Python CPython up to 3.11.8/3.12.2/3.13.0a4 Address Header information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.0 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Python CPython up to 3.11.8/3.12.2/3.13.0a4. The impacted element is an unknown function of the component Address Header Handler. The manipulation leads to information disclosure. This vulnerability is traded as CVE-2025-1795. It is possible to initiate the attack remotely. There is no exploit available. It is advisable to upgrade the affected component.
Details
A vulnerability, which was classified as problematic, has been found in Python CPython up to 3.11.8/3.12.2/3.13.0a4. This issue affects an unknown functionality of the component Address Header Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:
During an address list folding when a separating comma ends up on a folded line and that line is to be unicode-encoded then the separator itself is also unicode-encoded. Expected behavior is that the separating comma remains a plan comma. This can result in the address header being misinterpreted by some mail servers.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2025-1795 since 02/28/2025. The exploitation is known to be difficult. The attack may be initiated remotely. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
The vulnerability scanner Nessus provides a plugin with the ID 232012 (Linux Distros Unpatched Vulnerability : CVE-2025-1795), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 3.11.9, 3.12.3 or 3.13.0a5 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the databases at Tenable (232012), EUVD (EUVD-2025-5930) and CERT Bund (WID-SEC-2025-1850). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Affected
- Xerox FreeFlow Print Server
Product
Type
Vendor
Name
Version
License
Website
- Product: https://github.com/python/cpython/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 3.1VulDB Meta Temp Score: 3.0
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 232012
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-1795
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: CPython 3.11.9/3.12.3/3.13.0a5
Patch: github.com
Timeline
02/28/2025 🔍02/28/2025 🔍
02/28/2025 🔍
11/03/2025 🔍
Sources
Product: github.comAdvisory: 100884
Status: Confirmed
CVE: CVE-2025-1795 (🔍)
GCVE (CVE): GCVE-0-2025-1795
GCVE (VulDB): GCVE-100-298019
EUVD: 🔍
CERT Bund: WID-SEC-2025-1850 - Xerox FreeFlow Print Server: Mehrere Schwachstellen ermöglichen nicht spezifizierten Angriff
Entry
Created: 02/28/2025 20:57Updated: 11/03/2025 18:00
Changes: 02/28/2025 20:57 (70), 03/07/2025 19:00 (2), 08/15/2025 23:39 (7), 11/03/2025 17:23 (1), 11/03/2025 18:00 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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